Multi-Scale Testing Support

[Karthik-Suresh93]

Thank you for your amazing work. I notice that we can only provide one test scale in the config. Is it possible to provide multi-scale testing support or steps to be followed to implement it? Also, can you please explain what you mean by bounding box augmentation during test time? Thank you very much

[ShuLiu1993]

This codebase is heavily based on the Detectron.pytorch, which supports the multi-scale testing. So you can also conduct multi-scale testing with this codebase by adding more scales to the config file, although I didn't try this.

[ashnair1]

You just need to enable TEST.{task}_AUG and specify the scales you want to test on in the config yaml file.

According to the explanation given in this issue, the predictions for each image at test time are computed at all scales specified by TEST.SCALES + TEST.{task}_AUG.SCALES (see here) and combined using one of the available heuristics.